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Paper Citation Record · LEDGER

MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.16907.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.16907 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:54:11.717899Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T09:41:22.343895Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 160c395f-fa31-476a-8e16-a7bab08468a9 · inbound

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles cites this paper.

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T20:54:11.717899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:54:11.717899Z digest=sha256:6c759b893d4b7aacf70d785cbcca90e82f4df9e3c391b3d5ec6e76a97e79e0b9

Observation 3a67af59-fcad-4af1-bd33-502e82af944e · inbound

Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation cites this paper.

Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:28:14.570731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T11:24:21.204804Z digest=sha256:4b934a7d038b7280eef6aa50f09a8c506abb80bc34a0709b3d2172169c9cbbf9

Observation 6a3ca040-5e24-47df-bfe0-c0b966e2fcef · inbound

Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation cites this paper.

Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:22.346988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T09:37:24.710963Z digest=sha256:454e6251894308612c8a5e6a60e6e7156899ca59ba966b654007cf3af1ad5d5f